Detail výsledku

Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants

HURTA, M.; SCHWARZEROVÁ, J.; PROVAZNÍK, V.; WECKWERTH, W.; WALTHER, D.; SEKANINA, L. Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants. Program and Abstract Book: Swedish Bioinformatics Workshop 2023. Stockholm: 2023. p. 49-49.
Typ
abstrakt
Jazyk
anglicky
Autoři
Hurta Martin, Ing., UPSY (FIT)
Schwarzerová Jana, Ing. et Ing., MSc, UBMI (FEKT)
Provazník Valentýna, prof. Ing., Ph.D., UBMI (FEKT)
Weckwerth Wolfram, Prof., Dr. rer. nat.
Walther Dirk
Sekanina Lukáš, prof. Ing., Ph.D., UPSY (FIT)
URL
Rok
2023
Strany
49–49
Kniha
Program and Abstract Book: Swedish Bioinformatics Workshop 2023
Konference
Swedish Bioinformatics Workshop 2023
Místo
Stockholm
BibTeX
@misc{BUT185207,
  author="Martin {Hurta} and Jana {Schwarzerová} and Valentýna {Provazník} and Wolfram {Weckwerth} and Dirk {Walther} and Lukáš {Sekanina}",
  title="Utilizing Cartesian Genetic Programming for Efficient Polygenic Risk Score Calculation in Plants",
  booktitle="Program and Abstract Book: Swedish Bioinformatics Workshop 2023",
  year="2023",
  pages="49--49",
  address="Stockholm",
  url="https://drive.google.com/file/d/1YQ2dbigYqRdsG_c_1Xz6rKw9Qz5TC200",
  note="Abstract"
}
Projekty
PGine: Py/Bioconda software package for calculation of polygenic risk score in plants, VUT, Vnitřní projekty VUT, FEKT/FIT-J-23-8274, zahájení: 2023-03-01, ukončení: 2024-02-28, řešení
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